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README.md

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@@ -10,7 +10,7 @@ The deeplearning algorithms are carefully implemented by [tensorflow](https://ww
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- Convolution Neural Network (CNN) [cnn.py](https://github.com/xiaohu2015/DeepLearning_tutorials/blob/master/models/cnn.py)
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- Denoising Aotoencoder (DA) [da.py](https://github.com/xiaohu2015/DeepLearning_tutorials/blob/master/models/da.py)
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- Stacked Denoising Autoencoder (SDA) [sda.py](https://github.com/xiaohu2015/DeepLearning_tutorials/blob/master/models/sdan.py)
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- Restricted Boltzmann Machine (RBM) [rbm.py](https://github.com/xiaohu2015/DeepLearning_tutorials/blob/master/models/rbm.py)
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- Restricted Boltzmann Machine (RBM) [[rbm.py](https://github.com/xiaohu2015/DeepLearning_tutorials/blob/master/models/rbm.py) [gbrbm.py](https://github.com/xiaohu2015/DeepLearning_tutorials/blob/master/models/gbrbm.py)]
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- Deep Belief Network (DBN) [dbn.py](https://github.com/xiaohu2015/DeepLearning_tutorials/blob/master/models/dbn.py)
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Note: the project aims at imitating the well-implemented algorithms in [Deep Learning Tutorials](http://www.deeplearning.net/tutorial/) (coded by [Theano](http://deeplearning.net/software/theano/index.html)).

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